BI & Data Engineering Lead

Job Description
Role:

BI & Data Engineering Lead
Location:

Hybrid 2 days in the office, Hammersmith, London
Salary:

circa £75k-£80k + Benefits Package
Organisation:
A B2B organisation hugely fuelled by untapped Data with a super impressive Fortune 500 client base, well positioned for future growth and opportunity.
Role:
A unique opportunity for someone that enjoys variety and challenge. This role will touch all parts of BI & Data Engineering, from strategy > tooling > architecture > implementation as well as working closely with the organisation to gain more value from unstructured, complex data.
A player/coach role, this role will line manage a small and growing team, as well as keep their hands dirty, specifically with architecture, data engineering (data pipelines, warehouses and transformation logic), as well as have accountability for the team that delivers the BI reporting solutions (Power BI) to the organisation.
This role will be pivotal in enabling the business to turn data-driven decision making into reality, resulting in significant business value and opportunity.
Well suited to someone who sees a future as a Head of BI & Data Engineering.
Current tech stack is - ETL (Azure Data Factory) > DW (Azure SQL) > Data Models (Azure Analysis Services) > Visualisation (Power BI).
Key areas of role include:
Ensuring scalable, secure, and reliable data and BI architecture, including designing and building robust Data Models that are fit for purpose.
Support in definition and delivery of BI and Data roadmap.
Implementation and refinement of Data Governance.
Ensure user adoption, and work closely with non-technical stakeholders to gain buy-in.
Evolving the BI, Data, AI, and Analytics landscape (AI/ML).
Tool selection, cost management, and team management.
Experience required:
Experience in building and scaling BI and Data Architecture.
Expertise in modern BI and Data DW platforms such as Snowflake, BigQuery, Redshift, Power BI, etc.
Background in ETL/ELT tooling and Data Pipelines such as DBT, Fivetran, Airflow.
Experience with Cloud-based solutions (Azure, AWS, or Google).

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